Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kanghua Tang

dblp:139/7846 · DBLP profile ↗
← Back
5ranked-venue papers
1as first author
3since 2021 · last 2025
0000-0001-6473-7923ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4 · 1 first-author · 2 since 2021Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Wireless sensing and localization · 100%
Artificial intelligence
1 paper
Robot navigation and mapping · 50% Video understanding and tracking · 50%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
integrated navigation system
0.212014
A double-filter-structure based COMPASS/INS deep integrated navigation system implementation and tracking performance evaluation · Sci. China Inf. Sci. 2014
Computer vision › Video understanding and tracking › object tracking
tracking evaluation
0.212014
A double-filter-structure based COMPASS/INS deep integrated navigation system implementation and tracking performance evaluation · Sci. China Inf. Sci. 2014
Wireless sensing and localization
satellite navigation
0.212014
A double-filter-structure based COMPASS/INS deep integrated navigation system implementation and tracking performance evaluation · Sci. China Inf. Sci. 2014

Methods — techniques the papers use, named apart from their topics

kalman filtering · 0.4double-filter structure · 0.4
YearPublicationVenuePosition
2025 A Distributed UAV Swarm Countermeasure Method Based on GNSS Spoofing
abstract
Aiming at the problem of Unmanned Aerial Vehicle (UAV) swarm fragmentation caused by the velocity disorder in the process of spoofing, this paper designs a distributed UAV swarm countermeasure method based on Global Navigation Satellite System (GNSS) spoofing, which realizes the purpose of spoofing and controlling illegal small UAV swarm. In this paper, the dynamic model of distributed UAV swarm is first constructed, the coupling relationship between GNSS spoofing offset and the navigation state parameters of UAV swarm is derived. Then, the slope of slop-type position spoofing signal is used to represent the velocity spoofing offset, and the velocity of swarm is controlled by controlling the slope of slop-type position spoofing signal. Based on the consistency control principle of swarm, the location of whole swarm is driven by spoofing the positioning information of individual, so as to realize the spoofing of the whole target UAV swarm. Finally, it is proved that using this method to spoof the individual of UAV swarm can achieve countermeasures against the whole UAV swarm under the premise of ensuring the integrity and velocity order of swarm through simulation and semi-physical experiments.
Xingshou Geng, Kanghua Tang, Yan Guo 0014, Lu Zhang 0044
IEEE Internet Things J.2
2025 A Covert Spoofing Algorithm for SINS/GNSS Tightly Integrated Navigation System
abstract
In order to solve the spoofing problem of SINS/GNSS tightly integrated navigation system with inertial assist spoofing detection module, this paper proposes a covert spoofing algorithm for SINS/GNSS tightly integrated navigation system. Firstly, the influence mechanism of the GNSS spoofing signal on the innovation and state estimation parameters of the SINS/GNSS tightly integrated navigation system is analyzed, and then the GNSS spoofing signal model is established with the constraint condition of the influence of the GNSS spoofing signal on the innovation and state estimation parameters of the SINS/GNSS tightly integrated navigation system. Secondly, the mathematical model of covert spoofing is constructed by using the GNSS spoofing signal model. Finally, SINS/GNSS tightly integrated navigation system is spoofed by GNSS spoofing signal generated according to the mathematical model of covert spoofing. Note to Practitioners—The motivation of this paper is to solve the spoofing problem of SINS/GNSS tightly integrated navigation system, so as to realize the control of the illegal unmanned platform equipped with tightly integrated navigation system. The existing spoofing methods are easily detected by the spoofing detection module, and it is difficult to meet the spoofing requirements of SINS/GNSS tightly integrated navigation system equipped with inertial aided spoofing detection module. This paper proposes a covert spoofing algorithm. Firstly, the influence mechanism of GNSS spoofing signal on SINS/GNSS tightly integrated navigation system is analyzed. Then, the mathematical model of covert spoofing is established by taking the influence of GNSS spoofing signal on the innovation parameter and state estimation parameters of SINS/GNSS tightly integrated navigation system as the constraint condition. Finally, the GNSS spoofing signal generated by the covert spoofing mathematical model is used to spoof the SINS/GNSS tightly integrated navigation system. Simulation and experimental results verify the effectiveness and correctness of the proposed method. In the future research, we will further promote the experiment and application of spoofing technology in the control of various illegal unmanned platforms.
Xingshou Geng, Yan Guo 0014, Kanghua Tang, Yanchao Ren, Guodong Duan
IEEE Trans Autom. Sci. Eng.3
2025 Anti-Unmanned Directional Drive-Off Method Under Integrated Navigation Mode
abstract
To realize the defense task of precise directional drive off of unmanned combat system in the target area, an anti-unmanned directional drive-off method under SINS(Strapdown Inertial Navigation System)/GPS(Global Positioning System) integrated navigation mode is proposed in this paper, which is suitable for the security defense of important places, urban public security protection and anti-terrorism and stability maintenance in sensitive areas. Firstly, this paper constructs a seven dimensional SINS/GPS integrated navigation model of unmanned combat system including horizontal position, velocity and attitude, and uses discrete Kalman filter for data fusion; Then, combined with the coupling relationship between various state parameters of SINS/GPS integrated navigation, the controllability and stability of false satellite signal acting on the position output of integrated navigation are analyzed, and then the feasibility of satellite navigation spoofing under SINS/GPS integrated navigation mode is deduced; Finally, the false satellite signal is designed and constructed to make the position estimation of SINS/GPS Integrated Navigation drive away accurately. The simulation and experimental results verify the effectiveness and correctness of the anti-unmanned directional drive-off method under the integrated navigation mode.Note to Practitioners—This work is motivated by the need for the defense task of precise directional drive off of unmanned combat system in the target area. Most unmanned combat platforms adopt the integrated navigation mode with satellite navigation system as an auxiliary means. It can be challenging for researchers and practitioners to drive off the unmanned combat system which adopt the integrated navigation mode in the target area by the existing spoofing methods. Therefore, this paper presents an accurate directional displacement method against unmanned under the SINS/GPS integrated navigation mode and the effectiveness of the proposed method is verified by UAV spoofing simulation and test. This paper provides researchers and practitioners with comprehensive reference sources in anti-Unmanned directional drive-off method under integrated navigation mode, which can help them develop suitable solutions to drive off the unmanned combat system which adopt the integrated navigation mode in the target area.
Yan Guo 0014, Juliang Cao, Kanghua Tang, Kaixin Luo, Xingshou Geng
IEEE Trans Autom. Sci. Eng.3
2016 Simplified ultra-tightly coupled BDS/INS integrated navigation system
Kanghua Tang
Sci. China Inf. Sci.1
2014 A double-filter-structure based COMPASS/INS deep integrated navigation system implementation and tracking performance evaluation
Ravindra Babu, Kanghua Tang
Sci. China Inf. Sci.4